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» A novel feature selection algorithm for text categorization
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CVPR
2008
IEEE
14 years 10 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
ACL
2010
13 years 6 months ago
A Framework for Figurative Language Detection Based on Sense Differentiation
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...
Daria Bogdanova
ICDAR
2009
IEEE
13 years 6 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An
DNIS
2005
Springer
102views Database» more  DNIS 2005»
14 years 2 months ago
An Improved Approach to Extract Document Summaries Based on Popularity
With the rapid growth of the Internet, most of the textual data in the form of newspapers, magazines and journals tend to be available on-line. Summarizing these texts can aid the...
P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao,...
SAC
2004
ACM
14 years 2 months ago
Classifying biological articles using web resources
Text classification systems on biomedical literature aim to select relevant articles to a specific issue from large corpora. Most systems with an acceptable accuracy are based o...
Francisco M. Couto, Bruno Martins, Mário J....